Artificial Lift Production Systems Sizing and Simulation Software

2016 ◽  
Author(s):  
Reda Elmahbes ◽  
Regulo Quintero ◽  
Arsenys Larez
Keyword(s):  
Production Systems ◽  
Simulation Software ◽  
Artificial Lift

scholarly journals Utilization of computer simulation for optimization of furniture production system

BioResources ◽  
2020 ◽  
Vol 15 (3) ◽  
pp. 6752-6765
Author(s):  
Roman Bambura ◽  
Erika Sujová ◽  
Helena Čierna
Keyword(s):  
Computer Simulation ◽  
Production System ◽  
Production Line ◽  
Production Systems ◽  
Discrete Event ◽  
Simulation Software ◽  
Production Optimization ◽  
Furniture Manufacturing ◽  
Production Processes ◽  
Method Of Production

Computer simulation methods are currently used to simulate production processes and optimize production systems. Computer simulation is one of the most effective tools for implementation of Industry 4.0 principles in industrial practice. This research focused on the optimization of production processes in furniture production using simulation, which is an innovative method of production optimization for furniture manufacturers. The aim of this research was to improve the production system of Slovak furniture manufacturing enterprise by creating a discrete event simulation model of production based on the analysis of its current state. Improvement indicators are specific parameters of the production system, which primarily include material flow, productivity, and workload utilization. First, with the use of Tecnomatix Plant Simulation software and the collected real production data, the original production system processes were simulated and analyzed. Second, the incorporation of more powerful devices was proposed to improve the production line. Third, the proposed improvements were simulated and analyzed. The result of this research was a statistical comparison of the parameters of the current production line and the proposed production improvements.

Discrete-Event Simulation Software for Modeling Flexibility-Driven Manufacturing Processes

2015 ◽  
Author(s):  
Nadia Galaske ◽  
Erdal Tantik ◽  
Reiner Anderl
Keyword(s):  
Modeling And Simulation ◽  
Discrete Event Simulation ◽  
Production Systems ◽  
Discrete Event ◽  
Value Added ◽  
Life Cycles ◽  
Simulation Software ◽  
Manufacturing Processes ◽  
Material Flows ◽  
Event Simulation

In times of globalized markets and rapidly advancing technologies, companies are demanded to produce highly individualized products in shorter life cycles. This requires a certain flexibility in production processes, which, in turn, leads to a higher process complexity. In order to face these challenges, companies need to rely increasingly on the application of software tools for modeling and simulation of production systems. One of the most commonly used tools in the field of digital production planning and control is the discrete-event simulation (DES). A discrete-event simulation software allows production planners to create digital models of production systems and simulate process and material flows. It can be used not only to improve the design of production systems in the early stage of planning, but also to analyze changes in the system’s behavior during operative processes. In this paper, an event-based modeling and simulation software for flexibility-driven manufacturing processes in value-added process chains is developed. The software presented in this paper is aimed particularly at small and medium enterprises (SMEs) with low degree of automation and high product variety. The goal of this approach is to enable the modeling and simulation of manufacturing systems where the required manufacturing operations depend on production workers and vary with each production order. Using the approach described in this paper, a high variety of manufacturing process sequences in a flexible manufacturing system with different layouts, where material flows, worker paths, and part routings are not determined in fixed order, can be modeled, analyzed, and optimized.

Risk Analysis of Completion and Production Systems

2014 ◽  
pp. 132-154
Author(s):  
Davorin Matanovic
Keyword(s):  
Risk Analysis ◽  
Production Systems ◽  
Optimal Path ◽  
Well Completion ◽  
Long Period ◽  
Artificial Lift ◽  
Financial Benefits ◽  
System Components ◽  
And Control ◽  
Flowing Well

A variety of definitions are available through the literature, but the universal one is in defining the well completion as the optimal path for the reservoir fluids to be produced. That means to achieve a desired production with minimal costs. Wells represent the greatest part of expenditure when developing the reservoir. For a long period of time it was defined to be simple, reliable, and safe with enough flexibility to allow future operations. Nowadays, so called “intelligent completions” appear to give more financial benefits, flexibility, and control. The reliability of system components is essential for long-lasting production. In addition, the differences according to natural flowing well risk and artificial lift are given.

scholarly journals Computational simulation applied in choosing the best solution in a product development using design for manufacturing and assembly approach

2018 ◽  
Vol 15 (4) ◽  
pp. 618-628
Author(s):  
Nathália Marcia Goulart Pinheiro ◽  
Robert Eduardo Cooper Ordoñez ◽  
Gustavo Lemes Leite Barbosa ◽  
Franco Giuseppe Dedini
Keyword(s):  
Computer Simulation ◽  
Product Development ◽  
Performance Indicators ◽  
Production Systems ◽  
Computational Simulation ◽  
Design For Manufacturing ◽  
Simulation Software ◽  
Production Performance ◽  
Productive Performance ◽  
Product Solution

Highlights: The product development methodology aims to assist the planning and design of the product throughout its life cycle. Using selection criteria it is possible to choose a solution will be followed until the end of the development process and this process is known as optimization of product solutions. Design for Manufacturing and Assembly (DFMA) is an approach that allows selecting a product solution with better manufacturing and assembly performance. Computational modeling allows representing systems in virtual environment in order to reproduce its characteristics and to compare scenarios through simulation. Goal: The objective of this work was to apply the computer simulation to compare the productive performance, according to production times, productivity and resource utilization rate, of three solutions proposed for a raincoat for pets with thermal protection. Methodology: Initially, conceptual models representing the production systems for the three product solutions were generated. The systems were modeled in discrete event simulation software, enabling different scenarios testing, resulting in production performance indicators for each product solution. Results: The analysis of the performance indicators allow identifying that the third solution proposed for the product obtained the best productive performance in all proposed scenarios; therefore, it was chosen as the best solution for the product according to the DFMA approach. Limitations of the investigation: The application of the methodology indicated in this work was limited to the study of a single productive system of a specific product. Practical implications: This work presents a practical application of computer simulation tools applied to product development. Originality / Value: The original contribution of this work is the application of computational simulation of production systems in product development following the DFMA approach.

Case Studies of Petroleum Production Systems With the Flow Performance Index (FPI)

2017 ◽  
Author(s):  
José Ricardo P. Mendes ◽  
Sergio N. Bordalo ◽  
Sergio Fernando Celis Ariza ◽  
Kazuo Miura
Keyword(s):  
Performance Index ◽  
Production Systems ◽  
Petroleum Engineering ◽  
Rational Approach ◽  
Technological Advancement ◽  
Flow Lines ◽  
Petroleum Production ◽  
Artificial Lift ◽  
Sand Control ◽  
Control Technologies

In this work, the Flow Performance Index (FPI) is introduced to guide the analysis of the performance of well systems for petroleum production. For some time now, the oil industry has been investing in the technological advancement of the instrumentation of its wells and flow lines; therefore, the volume of acquired data is quite substantial. Nevertheless, these data are still scantly used and stored in isolated databases where sharing the data is difficult, forcing the professionals to waste time, searching and organizing information, rather than spending time on decision-making processes. Consequently, there is a need to organize and integrate the available data from the different sources and areas of petroleum engineering. The FPI may be employed to handle large amounts of field data (measured periodically) in a rational approach to integrate the data. The FPI allows the assessment of the technologies used in wells for completion and artificial lift, and the performance of wells and flow lines; it may be used for monitoring production and to aid in the diagnosis of flow assurance problems; it could also be employed for benchmark studies and comparison of field production systems. A few examples of applications of the FPI are presented here, comparing the performance of vertical, directional and horizontal wells, sand control technologies, and monitoring of production. Further, the concept of the FPI is extended for gas-lift wells, and a more general formulation is proposed to include mechanical-lift systems. The examples given herein have proven the usefulness of the FPI, in different areas of an upstream business unity in Brazil.

Risk Analysis of Completion and Production Systems

2015 ◽  
pp. 1005-1024
Author(s):  
Davorin Matanovic
Keyword(s):  
Risk Analysis ◽  
Production Systems ◽  
Optimal Path ◽  
Well Completion ◽  
Long Period ◽  
Artificial Lift ◽  
Financial Benefits ◽  
System Components ◽  
And Control ◽  
Flowing Well

A variety of definitions are available through the literature, but the universal one is in defining the well completion as the optimal path for the reservoir fluids to be produced. That means to achieve a desired production with minimal costs. Wells represent the greatest part of expenditure when developing the reservoir. For a long period of time it was defined to be simple, reliable, and safe with enough flexibility to allow future operations. Nowadays, so called “intelligent completions” appear to give more financial benefits, flexibility, and control. The reliability of system components is essential for long-lasting production. In addition, the differences according to natural flowing well risk and artificial lift are given.

Qualification and Deployment of the Highest Power ESP in the World

2021 ◽  
Author(s):  
Marisela Rojas ◽  
Andrew Merlino ◽  
David Liney ◽  
Lawrence Obst ◽  
Matthew Kotteman ◽  
...  
Keyword(s):  
System Integration ◽  
Production Systems ◽  
Production Capacity ◽  
Cost Effective ◽  
Full Scale ◽  
Operating Conditions ◽  
Hydrocarbon Production ◽  
Pump Design ◽  
Artificial Lift ◽  
Readiness Level

Abstract This paper provides an overview of the qualification process of the highest power ESP ever installed into a hydrocarbon production system for artificial lift. The unit was selected and configured to interface with the existing deepwater offshore inflow and outflow systems without changes to the completion string or riser. The overall objective was to maximize the production capacity in terms of lift and flow rate given topsides power supply and running diameter constraints. The initial requirement was to identify a suitable supplier that could provide a hardware solution with a high technical readiness level. The team first reviewed the hydraulic performance of the existing production systems and modeled the potential for improvement with the new equipment configuration given an expected efficiency and power factor for the proposed motor. The ESP equipment was configured with components that had multiple qualification and validation testing requirements. The motor and associated high voltage connector were key differences from the existing systems. The pump design was modified to accommodate projected operating ranges including additional stages for the necessary head requirements. The new subcomponents were subjected to application specific testing to qualify the designs for operating conditions with multiple technical assurance reviews conducted by the end user and supplier company technical discipline authorities. Full scale flow testing at a dedicated facility (Gasmer) for Caisson gas/liquid separator ESP systems, and component installation stackup tests for fit and interfaces were completed to validate the performance in multiphase flow and identify hardware changes needed for the completion design and the intervention procedures. The qualification program was completed successfully, and a unit was deployed without incident, into a deepwater mudline caisson that has since been operated for live hydrocarbon production. The performance has met expectations and the unit efficiency and demonstrated capacity will allow for increased production. The use of a detailed qualification program that includes focused testing for individual system components and validation through full scale system integration testing ensures flawless deployment of technology improvements for critical well applications. The system is the highest power ESP for hydrocarbon production. It includes a novel completion design to accommodate the effective running diameter for the motor. The use of a unique shroud design to stay within running diameter constraints allowed for minor modifications to the completion string design without system changes to the riser or caisson. This was both cost effective and reduced the time needed for development and manufacturing.

scholarly journals A Digital Twin Architecture to Optimize Productivity within Controlled Environment Agriculture

2021 ◽  
Vol 11 (19) ◽  
pp. 8875
Author(s):  
Jesus David Chaux ◽  
David Sanchez-Londono ◽  
Giacomo Barbieri
Keyword(s):  
Food Security ◽  
Production Systems ◽  
Control Strategies ◽  
Simulation Software ◽  
Controlled Environment ◽  
Climate Control ◽  
Digital Twin ◽  
Level Of Automation ◽  
Controlled Environment Agriculture

To ensure food security, agricultural production systems should innovate in the direction of increasing production while reducing utilized resources. Due to the higher level of automation with respect to traditional agricultural systems, Controlled Environment Agriculture (CEA) applications generally achieve better yields and quality crops at the expenses of higher energy consumption. In this context, Digital Twin (DT) may constitute a fundamental tool to reach the optimization of the productivity, intended as the ratio between production and resource consumption. For this reason, a DT Architecture for CEA systems is introduced within this work and applied to a case study for its validation. The proposed architecture is potentially able to optimize productivity since it utilizes simulation software that enables the optimization of: (i) Climate control strategies related to the control of the crop microclimate; (ii) treatments related to crop management. Due to the importance of food security in the worldwide landscape, the authors hope that this work may impulse the investigation of strategies for improving the productivity of CEA systems.

scholarly journals Application of Digitization Procedures of Production in Practice

2019 ◽  
Vol 27 (1) ◽  
pp. 23-28 ◽  
Author(s):  
Erika Sujová ◽  
Helena Čierna ◽  
Iwona Żabińska
Keyword(s):  
Industry 4.0 ◽  
Assembly Line ◽  
Statistical Data ◽  
Production Systems ◽  
Simulation Software ◽  
Assembly Lines ◽  
The Real ◽  
Digital Twin ◽  
Production Processes ◽  
Digital Engineering

AbstractThe paper addresses application of digitazation of production processes, which is part of organizational digitization, also known as Industry 4.0. It deals with modernization and optimization of production systems by creating models in simulation software via digital engineering. For our analysis, 8 real assembly lines were used, with an average of 15 workplaces, which were integrated into one universal line by means of simulation. The aim of our research was to create a digital twin of the real assambly lien and to analyse effectiveness of the proposed modernization universal assembly line using the generated statistical data.

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